Design for manufacturing (DfM) is evolving from traditional engineering practices into a data-intensive discipline that requires real-time integration of manufacturing capabilities, supplier ...

Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental input–output data. This ...

As AI moves to operational reality, PLM companies are prioritizing faster decisions and agentic intelligence integration over ...

The car industry is evolving with the integration of agentic artificial intelligence (AI) in intelligent vehicles, revolutionizing the car manufacturing process through data-driven design and ...

Artificial Intelligence (AI) is permeating and adding value at every junction of life and commerce. Semiconductors are a vital piece of the AI value chain, accelerating ML workloads, including ...

The 2025 Designalytics Effectiveness Awards Spotlight Redesigns that Sparked Significant Sales Increases ENCINITAS, ...

While listening to a variety of Army leaders ascribe to the benefits of data-centricity, I started asking myself what this really means and why is it difficult to move toward that as an end-state.

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...

Image created using AI under the prompt: A futuristic architectural landscape exemplifying data-driven architecture. Image via DALL.E 2 Although cultural, social, and even religious factors can ...

What does ‘data-driven’ really mean? Your email has been sent “Data-driven” is a commonly-used term these days. Everyone is saying it, but do they really know what it means or how to develop ...